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A Highly Scalable Direction-Splitting Solver on Regular Cartesian Grid to Compute Flows in Complex Geometries Described by STL Files Morente, Antoine; Goyal, Aashish; Wachs, Anthony

Abstract

We implement the Direction-Splitting solver originally proposed by Keating and Minev in 2013 and allow complex geometries to be described by a triangulation defined in STL files. We develop an algorithm that computes intersections and distances between the regular Cartesian grid and the surface triangulation using a ray-tracing method. We thoroughly validate the implementation on assorted flow configurations. Finally, we illustrate the scalability of our implementation on a test case of a steady flow through 144,327 spherical obstacles randomly distributed in a tri-periodic box at Re=19.2. The grid comprises 6.8 billion cells and the computation runs on 6800 cores of a supercomputer in less than 48 h.

Item Metadata

Title
A Highly Scalable Direction-Splitting Solver on Regular Cartesian Grid to Compute Flows in Complex Geometries Described by STL Files
Creator
Morente, Antoine; Goyal, Aashish; Wachs, Anthony
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2023-02-28
Description
We implement the Direction-Splitting solver originally proposed by Keating and Minev in 2013 and allow complex geometries to be described by a triangulation defined in STL files. We develop an algorithm that computes intersections and distances between the regular Cartesian grid and the surface triangulation using a ray-tracing method. We thoroughly validate the implementation on assorted flow configurations. Finally, we illustrate the scalability of our implementation on a test case of a steady flow through 144,327 spherical obstacles randomly distributed in a tri-periodic box at Re=19.2. The grid comprises 6.8 billion cells and the computation runs on 6800 cores of a supercomputer in less than 48 h.
Subject
direction-splitting; scalable solver; complex geometry; STL file
Genre
Article
Type
Text
Language
eng
Date Available
2025-08-08
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0449600
URI
http://hdl.handle.net/2429/91797
Affiliation
Applied Science, Faculty of; Science, Faculty of; Chemical and Biological Engineering, Department of; Mathematics, Department of
Citation
Fluids 8 (3): 86 (2023)
Publisher DOI
10.3390/fluids8030086
Peer Review Status
Reviewed
Scholarly Level
Faculty; Researcher; Graduate
Rights URI
https://creativecommons.org/licenses/by/4.0/
Aggregated Source Repository
DSpace

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CC BY 4.0